Consider the following data: ( table[[x, 3, 6, 8], [y, 4, 9, 10]] (a) Find the equation of the regression line. (b) Use the equation of the regression line to find y when x = 4. 2 8. Consider the following data: X 3 6 8 y 4 9 10 (a) Find the equation of the regression line. (b) Use the equation of the regression line to find y when x = 4.

The regression line in a scatterplot is also known as a(n): A. R-squared line. B. high-low line. C. outcome variable. D. linear trendline.

Consider the following set of dependent and independent variables. Complete parts a through c below. y 9 11 D 15 15 21 24 28 32 X1 2 6 6 8 6 11 15 20 X2 16 10 14 11 3 8 7 4 a. Using technology, construct a regression model using both independent variables. y= (15.3952) + (1.0092) x₁ + (-0.5869)x2 (Round to four decimal places as needed.) b. Test the significance of each independent variable using α = 0.05. Test the significance of x₁. Identify the null and alternative hypotheses. Ho B₁ = H₁ B₁ 0 0 (Type integers or decimals.) Calculate the appropriate test statistic. The test statistic is 4.20 (Round to two decimal places as needed.) Determine the appropriate critical value(s) for α = 0.05. The critical value(s) is (are) ☐ (Round to two decimal places as needed. Use a comma to separate answers as needed.)

Consider the following time series: a. Construct a time series plot. What type of pattern exists in the data? b. Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series. c. What is the forecast for t = 6?